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Full Stack Engineer - PricingCenter
Build and maintain a full-stack insurance pricing platform using Python (Flask/FastAPI), React/TypeScript, and cloud services, focusing on pricing algorithms and data visualizations.
Senior Full Stack Engineer II
Build and maintain Node.js/TypeScript integrations and ETL pipelines that ingest data from diverse APIs and systems, ensuring high throughput and data integrity for a global commerce partnership platform.
Senior Full Stack Engineer
Build and modernize a Laravel/Vue SaaS platform for coworking/flex spaces while shipping AI-powered features that turn rules into conversational, agentic workspace management.
Full Stack Engineer
Build customer-facing software and the internal Software Factory using Python, TypeScript, React, and AWS; leverage AI tools to improve engineering practices.
Développeur DevOps - DevOps Developer Montreal,Quebec,Canada Product Development Posted 3 hours ago
Build and maintain Java-based tools and applications for Ericsson’s R&D teams, including web tools, log analysis, and debugging utilities, while collaborating in an Agile environment.
Senior Data Developer (Global Security)
Builds and optimizes data pipelines to analyze vulnerability data, prioritize security risks, and support compliance/audit reporting for a cybersecurity-focused company.
Data Engineer
Build and maintain data pipelines, automate validation, and design models to support student assessment and learning systems using SQL, JavaScript, and REST APIs.
Data Engineer
Build and maintain scalable data pipelines, ETL workflows, and analytics solutions for Alberta’s government using Azure, Databricks, and Power BI to improve service delivery and decision-making.
Senior Data Platform Engineer - longueuil
Build and maintain scalable data pipelines in Microsoft Fabric using Python, Spark, and medallion architecture to support analytics and AI workloads.
Data Analyst
Analyze client data to build dashboards and reports that guide digital strategy, using SQL, BI tools, and Python/R.
PH - Cloud Engineer
Designs, deploys, and maintains cloud infrastructure on Azure, AWS, and GCP, builds AI-based applications, and sets up secure networking and CI/CD pipelines using Terraform and Python/JavaScript.
Data Engineer
Designs and maintains scalable data pipelines, architectures (ETL/ELT, data lakes/warehouses), and automated workflows using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to power clients’ open-source projects while ensuring security, governance, and performance.
Data Engineer: ETL, APIs & Cloud Data
Builds APIs, ETL pipelines, and data integrations for a data warehouse, ensuring GDPR compliance and CRM aggregations using SQL, Python, and cloud platforms.
Data Analyst - Analytics Engineering
Build and maintain scalable data assets and AI-driven workflows for a fintech platform, partnering with marketing and product teams to optimize user growth and monetization.
AWS Data Architect — Hybrid Cloud Data Platform Lead
Designs and builds scalable AWS data pipelines using Glue, Lambda, Redshift, DynamoDB, and S3 to connect data science and engineering needs.
Data Engineering Manager
Lead a small team to build and scale WeRoad’s data platform, writing code and setting architecture for BigQuery, dbt, and real-time pipelines that turn raw travel data into trusted insights for stakeholders.
Data Platform Engineer
Design and build GCP-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Experienced – Azure Data Engineer Synapse
Design and build end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational and dimensional data in T-SQL/PySpark to deliver modern, scalable analytics platforms for enterprise clients.
AI Engineering Manager (Full-Stack) - Milano
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
Martech Data Engineer
Builds and optimizes cloud-based marketing data pipelines on Google Cloud, transforming raw data into clean, structured datasets for analytics, BI, and ML models.